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. 2020 Mar 18;40(12):2403–2415. doi: 10.1523/JNEUROSCI.1514-19.2020

Figure 5.

Figure 5.

Computational PC model simulates the impact of proximally shifted CF inputs on EPSC waveform. A, Left, model CF input distribution similar to control PCs (dark blue; “model CFControl”) vs a similar PC with CF inputs shifted 30% more proximal (right, light blue, “model CF70% Control”), which matches the degree of proximal shift in WT vs KO innervation, respectively. All models conserved the total number of CF quantal inputs (500 inputs with 1 nS conductance), though input density was adjusted to accommodate the shortened region of CF innervation (see inset). B, Overlay of EPSC output waveforms from model CFControl simulations (dark blue; 4.7 nA), model CF70% Control (light blue; 5.4 nA), and peak scaled model CFControl to compare decay kinetics. For tau of decay; model CFControl τdecay = 12.0 ms; model CF70% Control τdecay = 10.2 ms). C, Predicted increase in EPSC peak amplitude for various degrees of proximally shifted model CFs (light blue bars, restricted to a zone 100–50% the width of control CFs, all including 500 quantal inputs) compared with model CFControl (dark blue bar). For comparison, the empirically determined increase in quantal EPSC (aEPSC; hatched green bar) and evoked EPSC (eEPSC; filled-hatched dark green bar) amplitudes in KO PCs are also displayed (derived from Figs. 3 and 2, respectively). The orange dotted line demarcates the predicted EPSC increase from the model based on the observed shift in CF location.